# Model Deployment & Inferencing

This section covers the various environments where SEA-LION models can be hosted, ranging from fully managed cloud services to self-hosted high-performance infrastructure. SEA-LION models are freely available for [download](/models/download_models.md). The following guides provide technical how-tos for setting up SEA-LION inference using different approaches:

1. [Using our provided SEA-LION API](/guides/inferencing/api.md)
2. Running SEA-LION on a local machine (coming soon)
3. Deploying SEA-LION on the cloud
   * [Create SEA-LION endpoint on Google Vertex AI](/guides/inferencing/vertex_ai.md)
   * [Importing and Using Llama-SEA-LION models in a Serverless On-Demand Environment with Amazon Bedrock](/guides/inferencing/amazon_bedrock.md)
   * [OpenAI-compatible APIs with Llama-SEA-LION models and Bedrock Access Gateway](/guides/inferencing/bedrock_access_gateway.md)
   * [Deploying Gemma-SEA-LION models using AWS Sagemaker AI](https://github.com/aisingapore/sealion/blob/main/guides/inferencing/Gemma-SEA-LION-v4-27B-Instruct.ipynb)
   * [Deploying SEA-LION using vLLM on Linux server](/guides/inferencing/vllm_linux.md)
4. Leveraging our Partner API Platforms
   * [Cloudflare Workers AI](/guides/inferencing/cloudflare.md)


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